MA 37400 - Mathematical Foundations For Machine Learning

Credit Hours: 3.00. This course combines data, computation, and inferential thinking to solve challenging problems. In this class, we explore key areas of machine learning including question formulation, statistical inference, predictive modeling, and decision making. Through a strong emphasis on data-centric computing, and quantitative critical thinking, this class covers key principles and techniques of machine learning. These include algorithms for machine learning methods including regression, classification, and clustering; and statistical concepts of measurement error and prediction. Credits: 3.00

Communication

Campus

Services

Other

MA 37400 - Mathematical Foundations For Machine Learning